Luo, ShengzhouDingliana, JohnTobias Isenberg and Filip Sadlo2016-06-092016-06-092016978-3-03868-015-4-https://doi.org/10.2312/eurp.20161135https://diglib.eg.org:443/handle/10We present an automated technique to optimize the clarity of features in visualizations of 3D volume datasets. By adjusting the opacity transfer function, we achieve user-specified target distributions of feature conspicuity. Unlike previous techniques our approach accounts for both the issues of view-dependent occlusion and visual saliency of features in volume data. We demonstrate how the automated approach is useful in particular for optimizing the visualization of time-varying volume datasets.I.3.7 [Computer Graphics]Three Dimensional Graphics and RealismColorshadingshadowingand texture10.2312/eurp.2016113533-35